October 31, 2024
CSCS Conference Room
Europe/Zurich timezone



Key Questions

  1. Challenges in Offering AI/ML Services:
    1. What are the unique challenges HPC centers face in providing AI/ML services alongside traditional HPC capabilities?
    2. How do we ensure scalability and efficiency in AI/ML workflows within HPC infrastructures?
  2. User Expectations:
    1. What are the expectations of users regarding AI/ML services within HPC environments?
    2. How can HPC centers tailor their offerings to meet these expectations effectively?
  3. Concrete Machine Learning Workflows:
    1. What are the typical workflows involved in integrating ML/AI with HPC resources?
    2. How can these workflows be optimized for performance and reliability?
  4. Tools for AI/ML Services:
    1. What tools and frameworks are currently available for providing AI/ML services in HPC settings?
    2. Are there any gaps in tooling that need to be addressed to better support AI/ML integration?
  5. Data Requirements and Considerations:
    1. What specific requirements does ML/AI integration impose on data storage, access, and management within HPC centers?
    2. How can HPC centers navigate the complexities of handling diverse data types and sources?


CSCS Conference Room
CSCS Via Trevano 131 6900 Lugano
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  • Maria Grazia Giuffreda
  • Pablo Fernandez
Registration for this event is currently open.